Remote Senior Machine Learning Engineer

Description:

• The Senior Machine Learning Engineer will join a talented team to design, develop, and deploy robust machine learning models using Python.
• The role involves continuously improving model performance, experimenting with cutting-edge techniques, and driving innovation within the data science and engineering teams.
• Collaboration with product managers, data scientists, and engineers is essential to translate business requirements into technical solutions.
• The engineer will implement rigorous testing strategies and maintain high code quality standards to deliver reliable and scalable models.
• The position requires leveraging tools like Airflow and Terraform to automate workflows and reduce manual effort.

Requirements:

• Strong Python programming skills are required, including experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with Google Cloud Platform, particularly Vertex AI, and its machine learning tools is necessary.
• Experience with ETL pipelines, data ingestion, and data cleaning techniques is essential.
• The candidate must have a proven ability to write comprehensive unit tests and integration tests.
• Strong problem-solving skills are needed, with a knack for breaking down complex problems into manageable solutions and a passion for data-driven decision-making.
• Excellent communication and teamwork skills are required to work effectively with cross-functional teams.
• Experience with Ruby on Rails, knowledge of infrastructure as code (Terraform), and familiarity with MLOps practices are considered a plus.

Benefits:

• The position offers a fully remote working role, with the option to work from offices in London, Munich, Madrid, and Porto.
• Employees can expect 4-5 trips to the London office for social and team bonding events.
• A competitive salary is provided to support personal aspirations, such as funding a dream holiday to Bali.
• Matched pension contributions are available for a peaceful retirement.
• Share options are included, allowing employees to benefit from the company's success.
• Vitality Private Healthcare is offered for peace of mind, along with eyecare vouchers.
• Life Assurance is provided for additional peace of mind.
• Monthly coaching sessions with Spill, the mental wellbeing partner, are included.
• An enhanced holiday package is available, including 28 days of annual leave, plus Bank Holidays.
• Additional leave is granted for personal milestones, such as 1 day for a wedding and 1 day off when moving house.
• Employees receive 30 days of annual leave after their third year and 35 days after their tenth year.
• There is an option to buy 3 extra days of holiday per year.
• Employees can work from abroad for a month.
• Inclusive parental, partner, and shared parental leave policies, as well as fertility treatment and pregnancy loss policies, are available.
• Bubble childcare support and discounted nanny fees are provided for employees with children.
• The latest tech (Macbook or Surface) is supplied to enhance productivity.
• A home office allowance of up to £500/€550 is available for personal office improvements.
• A generous learning and development budget is provided to help employees master their craft.
• Regular social events, including tech lunches, coffee with executives, book clubs, and other activities, are organized.
• A referral program is in place where employees can earn money for referring friends.
• Lunch & learns and Carwow Classrooms with expert speakers are offered for continuous learning opportunities.